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ATAL
2007
Springer
14 years 2 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa
CP
2005
Springer
14 years 1 months ago
Sub-optimality Approximations
Abstract. The sub-optimality approximation problem considers an optimization problem O, its optimal solution σ∗ , and a variable x with domain {d1, . . . , dm} and returns appro...
Russell Bent, Irit Katriel, Pascal Van Hentenryck
AAIM
2008
Springer
138views Algorithms» more  AAIM 2008»
13 years 9 months ago
Confidently Cutting a Cake into Approximately Fair Pieces
We give a randomized protocol for the classic cake cutting problem that guarantees approximate proportional fairness, and with high probability uses a linear number of cuts.
Jeff Edmonds, Kirk Pruhs, Jaisingh Solanki
AAIM
2008
Springer
116views Algorithms» more  AAIM 2008»
14 years 2 months ago
An Improved Randomized Approximation Algorithm for Maximum Triangle Packing
This paper deals with the maximum triangle packing problem. For this problem, Hassin and Rubinstein gave a randomized polynomial-time approximation algorithm that achieves an expe...
Zhi-Zhong Chen, Ruka Tanahashi, Lusheng Wang
CCE
2010
13 years 5 months ago
A simple heuristic for reducing the number of scenarios in two-stage stochastic programming
In this work we address the problem of solving multiscenario optimization models that are deterministic equivalents of two-stage stochastic programs. We present a heuristic approx...
Ramkumar Karuppiah, Mariano Martín, Ignacio...